Implementation of Real-time Wheel Order Recognition System Based on the Predictive Parameters for Speaker`s IntentionMoon, Serng-Bae; Jun, Seung-Hwan;

Abstract

In this paper new enhanced post-process predicting the speaker`s intention was suggested to implement the real-time control module for ship`s autopilot using speech recognition algorithm. The parameter was developed to predict the likeliest wheel order based on the previous order and expected to increase the recognition rate more than pre-recognition process depending on the universal speech recognition algorithms. The values of parameter were assessed by five certified deck officers being good at conning vessel. And the entire wheel order recognition process were programmed to TMS320C5416 DSP so that the system could recognize the speaker`s orders and control the autopilot in real-time. We conducted some experiments to verify the usefulness of suggested module. As a result, we have confirmed that the post-recognition process module could make good enough accuracy in recognition capabilities to realize the autopilot being operated by the speech recognition system.